Guide Essentials Medical Statistics (Second Edition)

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Shipped from UK. Established seller since Seller Inventory FW Items related to Essentials of Medical Statistics. Essentials of Medical Statistics. Betty Kirkwood ; Jonathan Sterne. Publisher: Wiley-Blackwell , The book now includes full coverage of the most commonly used regression models, multiple linear regression, logistic regression, Poisson regression and Cox regression, as well as a chapter on general issues in regression modelling.

Essential Medical Statistics | Kirkwood | The Co-op

In addition, new chapters introduce more advanced topics such as meta-analysis, likelihood, bootstrapping and robust standard errors, and analysis of clustered data. Aimed at students of medical statistics, medical researchers, public health practitioners and practising clinicians using statistics in their daily work, the book is designed as both a teaching and a reference text.

The format of the book is clear with highlighted formulae and worked examples, so that all concepts are presented in a simple, practical and easy-to-understand way. The second edition enhances the emphasis on choice of appropriate methods with new chapters on strategies for analysis and measures of association and impact.

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Essential Medical Statistics is supported by a web site at www. Martin Bland Oxford University Press, This textbook is intended for medical researchers and includes the design of clinical trials and epidemiological studies, data collection, summarizing and presenting data, probability, standard error, confidence intervals and significance tests, techniques of data analysis including multifactorial methods and the choice of statistical method, problems of medical measurement and diagnosis, vital statistics, and calculation of sample size.

Betty R. Sterne Wiley-Blackwell, This introductory textbook presents statistics with clarity and provides a comprehensive coverage of advanced as well as basic methods. It starts with very basic methodology and builds on it to encompass some of the more advanced techniques that are currently used. This book will enable you to handle numerical data and critically appraise the veterinary and animal science literature.

Written in a non-mathematical way, the emphasis is on understanding the underlying concepts and correctly interpreting computer output, and not on working through mathematical formulae. The book aims to provide an understanding of the basic principles that underlie research design, data analysis and the interpretation of results and to enable the reader to carry out a wide range of statistical analyses.